Open AccessSmooth LMS‐based adaptive control of SPV system tied to grid for enhanced power quality
Author(s) -
Verma Pallavi,
Garg Rachana,
Mahajan Priya
Publication year - 2020
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2020.0134
Subject(s) - photovoltaic system , harmonics , control theory (sociology) , least mean squares filter , total harmonic distortion , power factor , ac power , microgrid , maximum power point tracking , matlab , harmonic , computer science , grid , transient (computer programming) , voltage , electronic engineering , inverter , engineering , adaptive filter , electrical engineering , control (management) , mathematics , physics , geometry , quantum mechanics , artificial intelligence , operating system
In this study, a novel smooth least mean square (LMS) algorithm for controlling PV inverter has been proposed to estimate the reference current for synchronisation of solar photovoltaic (SPV) to the grid. The proposed control extracts both active and reactive fundamental components of the load current with improved convergence rate. These currents are compared with sensed grid currents to generate gating pulses for a voltage source converter. It also compensates the load harmonics, reduces voltage fluctuation at point of common coupling and supplies the reactive power demand of the local load. The algorithm has been tested under steady state and transient conditions for input variation as well as load variation under the power factor correction mode of operation. The algorithm has been developed in MATLAB/Simulink. Further, the efficacy of the proposed control algorithm has been tested on prototype hardware setup developed in the laboratory using dSPACE1104. The total harmonic distortion at the grid side, obtained from simulated and hardware results are well within the IEEE standards.